Subject: Channel coding techniques (17 - EK551)

Basic Information

Scientific or art field:Telecommunications and Signal Processing
Native organizations units

Course native organizational units not found!
Course specification

Course is active from 29.08.2017..

Precondition courses

Course idMandatoryMandatory
Introduction to Information TheoryYesYes
Getting acquainted with the ways channel codes are encoded and decoded
Ability to use the modern procedures for channel encoding and decoding
Trellis codes (binary and non-binary signals, signal constellations, lattices, Ungerboeck codes (TCM - Trellis Coded Modulation), set partitioning, turbo codes, practical realization of modern modems); Block codes (finite fields, minimal polynomials of elements of a finite field, circuits for manipulation of polynomials, linear channel block codes, cyclic (CRC) codes, BCH and RS codes and their decoding, LDPC codes, overview of applications of channel codes
The lectures are continuously followed by synchronized oral and computer exercises. Oral exercises contain practical problem solving sessions principally related to encoding techniques. In the computer lab students obtain practical experience with algorithms used in channel coding. Through the teaching process, students are constantly motivated to an intensive discussion, problem oriented reasoning, independent study work and active participation in the whole lecturing process. The prerequisite to enter the final exam is to complete the pre-exam assignments by earning at least 10 points.
Obradović, M. i drZaštitno kodovanje sa statističkim prepoznavanjem oblika1989VIZ, Beograd.Serbian language
Shu Lin, Daniel Costello izdanjeEnglish
Course activity Pre-examination ObligationsNumber of points
Final exam - part twoNoYes50.00
Name and surnameForm of classes
Missing picture!

Minja Aleksandar
Assistant Professor

Missing picture!

Stefanović Čedomir
Guest Professor

Missing picture!

Stefanović Čedomir
Guest Professor

Computational classes
Missing picture!

Ninković Vukan
Assistant - Master

Computational classes